Obserwuj
Yankai Lin
Yankai Lin
Associate Professor (Tenure Track), Gaoling School of AI, Renmin University of China
Zweryfikowany adres z ruc.edu.cn - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Learning Entity and Relation Embeddings for Knowledge Graph Completion
L Yankai, L Zhiyuan, S Maosong, L Yang, Z Xuan
The 29th AAAI Conference on Artificial Intelligence, 2015
46922015
Measuring and relieving the over-smoothing problem for graph neural networks from the topological view
D Chen, Y Lin, W Li, P Li, J Zhou, X Sun
Proceedings of the AAAI conference on artificial intelligence 34 (04), 3438-3445, 2020
13072020
Neural relation extraction with selective attention over instances
Y Lin, S Shen, Z Liu, H Luan, M Sun
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
12692016
A survey on large language model based autonomous agents
L Wang, C Ma, X Feng, Z Zhang, H Yang, J Zhang, Z Chen, J Tang, ...
Frontiers of Computer Science 18 (6), 186345, 2024
10702024
Modeling relation paths for representation learning of knowledge bases
Y Lin, Z Liu, M Sun
Proceedings of EMNLP, 2015
8012015
DocRED: A large-scale document-level relation extraction dataset
Y Yao, D Ye, P Li, X Han, Y Lin, Z Liu, Z Liu, L Huang, J Zhou, M Sun
ACL 2019, 2019
6422019
Toolllm: Facilitating large language models to master 16000+ real-world apis
Y Qin, S Liang, Y Ye, K Zhu, L Yan, Y Lu, Y Lin, X Cong, X Tang, B Qian, ...
arXiv preprint arXiv:2307.16789, 2023
5652023
OpenKE: An open toolkit for knowledge embedding
X Han, S Cao, X Lv, Y Lin, Z Liu, M Sun, J Li
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
4402018
Neural sentiment classification with user and product attention
H Chen, M Sun, C Tu, Y Lin, Z Liu
Proceedings of the 2016 conference on empirical methods in natural language …, 2016
3912016
Tool learning with foundation models
Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, X Zhou, Y Huang, ...
ACM Computing Surveys 57 (4), 1-40, 2024
3252024
Learning from Context or Names? An Empirical Study on Neural Relation Extraction
H Peng, T Gao, X Han, Y Lin, P Li, Z Liu, M Sun, J Zhou
EMNLP 2020, 2020
2212020
MAVEN: A Massive General Domain Event Detection Dataset
X Wang, Z Wang, X Han, W Jiang, R Han, Z Liu, J Li, P Li, Y Lin, J Zhou
EMNLP 2020, 2020
2092020
Coreferential Reasoning Learning for Language Representation
D Ye, Y Lin, J Du, Z Liu, M Sun, Z Liu
EMNLP 2020, 2020
2012020
Denoising distantly supervised open-domain question answering
Y Lin, H Ji, Z Liu, M Sun
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
1952018
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
X Han, T Gao, Y Lin, H Peng, Y Yang, C Xiao, Z Liu, P Li, M Sun, J Zhou
AACL 2020, 2020
1842020
Graph neural networks with generated parameters for relation extraction
H Zhu, Y Lin, Z Liu, J Fu, T Chua, M Sun
ACL, 2019
1802019
Representation learning for natural language processing
Z Liu, Y Lin, M Sun
Springer Nature, 2023
1692023
Packed levitated marker for entity and relation extraction
D Ye, Y Lin, P Li, M Sun
arXiv preprint arXiv:2109.06067, 2021
1642021
On transferability of prompt tuning for natural language processing
Y Su, X Wang, Y Qin, CM Chan, Y Lin, H Wang, K Wen, Z Liu, P Li, J Li, ...
arXiv preprint arXiv:2111.06719, 2021
1532021
Don't make your LLM an evaluation benchmark cheater
K Zhou, Y Zhu, Z Chen, W Chen, WX Zhao, X Chen, Y Lin, JR Wen, J Han
arXiv preprint arXiv:2311.01964, 2023
1462023
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20